34 citations · 226 across the 32 of their papers we have counts for
25 papers · 1 filter
Evolution of the underlying event and non-extensive thermodynamics in pp collisions from RHIC to LHC energies
Suraj Prasad, Aditya Nath Mishra, Guy Paić +1
We investigate the geometrical and thermodynamical aspects of particle production in pp collisions over a broad center-of-mass energy, ranging from GeV to 13 TeV us…
Constraining -cluster compactness in and at TeV energies using azimuthal anisotropy
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +2
Anisotropic flow in ultra-relativistic light-ion collisions is sensitive to the initial geometry of the colliding nuclei. We investigate whether elliptic flow measurements can cons…
MAGE-HEP: Monte Carlo Analysis and Graphical Environment for High-Energy Physics
Rishabh Gupta, Kangkan Goswami, Suraj Prasad +1
Monte Carlo event generators are central to high-energy physics analysis. However, workflows based on handwritten scripts can be difficult to reuse, modify, and reproduce when mult…
Inferring identified hadron production in collisions with physics-informed machine learning at the LHC
Rishabh Gupta, Kangkan Goswami, Suraj Prasad +1
Machine learning has become a powerful tool in high-energy collider experiments, which enables the studies based on data-driven approaches to complex reconstruction and regression…
Nuclear geometry driven symmetry plane correlations in OO and Ne--Ne collisions at the Large Hadron Collider
Suraj Prasad, Raghunath Sahoo
Symmetry-plane correlations (SPCs) are key observables sensitive to the medium's transport properties and are driven by participant-plane correlations (PPCs) in the nuclear overlap…
Thermodynamic and Transport Properties of Quark-Gluon Plasma at Finite Chemical Potential with a Deep Neural Network Framework
Rishabh Kumar Tiwari, Kangkan Goswami, Suraj Prasad +3
The characteristics of a thermal system depend strongly on its response to thermal gradients and the underlying microscopic interactions among constituents. In the present study, w…
Probing the microscopic origin of prompt and non-prompt production through event-shape engineering in proton-proton collisions at the LHC
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Purnima Srivastava +1
Heavy-flavour hadrons are produced in the early stages of ultra-relativistic collisions at the LHC via hard partonic interactions and experience the whole system evolution. The stu…
Topological production of charmonia with event-shape engineering in collisions at TeV using PYTHIA8
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +1
The production of heavy quarks (charm and beauty) in high-energy hadronic and nuclear collisions provides an excellent testing ground for the theory of strong interactions and vali…
Machine learning driven identification of heavy flavor decay leptons in proton-proton collisions at the Large Hadron Collider
Raghunath Sahoo, Kangkan Goswami, Suraj Prasad
The study of heavy-flavor hadrons is topical in the era of precision measurements, which is useful to test theories based on pQCD. The heavy-flavor hadrons are produced initially d…
Event Topology Classifiers at the Large Hadron Collider
Suraj Prasad, Sushanta Tripathy, Bhagyarathi Sahoo +1
Event classifiers are the most fundamental observables to probe the event topology of hadronic and nuclear collisions at relativistic energies. Over the last five decades, signific…
Probing the sensitivity of anisotropic flow coefficients to the initial nuclear structure in pO and OO collisions at the LHC
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Neelkamal Mallick +2
RHIC and LHC have injected nuclei in their accelerator complexes with a focus on investigating collectivity and the origin of quark-gluon plasma signatures in small co…
Exploring the effects of -clustered structure of nuclei in anisotropic flow fluctuations in - collisions at the LHC within a CGC+Hydro framework
Suraj Prasad, Neelkamal Mallick, Raghunath Sahoo +1
In this paper, we explore the effects of the presence of clustered nuclear structure of in the final state elliptic flow fluctuations through - collisions…
Prompt and non-prompt production of charm hadrons in proton-proton collisions at the Large Hadron Collider using machine learning
Raghunath Sahoo, Suraj Prasad, Neelkamal Mallick +2
In this contribution, we use machine learning (ML) based models to separate the prompt and non-prompt production of heavy flavour hadrons, such as and J/, in proton-proton…
A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies
Gergely Gábor Barnaföldi, Neelkamal Mallick, Suraj Prasad +2
We developed a deep learning feed-forward network for estimating elliptic flow () coefficients in heavy-ion collisions from RHIC to LHC energies. The success of our model is m…
Probing strangeness with event topology classifiers in pp collisions at energies available at the CERN Large Hadron Collider with the rope hadronization mechanism in PYTHIA
Suraj Prasad, Bhagyarathi Sahoo, Sushanta Tripathy +2
In relativistic heavy-ion collisions, the formation of a deconfined and thermalized state of partons, known as quark-gluon plasma (QGP), leads to enhanced production of strange had…
A machine learning-based study of open-charm hadrons in proton-proton collisions at the Large Hadron Collider
Kangkan Goswami, Suraj Prasad, Neelkamal Mallick +2
n proton-proton and heavy-ion collisions, the study of charm hadrons plays a pivotal role in understanding the QCD medium and provides an undisputed testing ground for the theory o…
Investigating radial flow-like effects via pseudorapidity and transverse spherocity dependence of particle production in pp collisions at the LHC
Aswathy Menon Kavumpadikkal Radhakrishnan, Suraj Prasad, Sushanta Tripathy +2
Recent observations of quark-gluon plasma (QGP) like signatures in high multiplicity proton-proton (pp) collisions, have compelled the heavy-ion physics community to re-examine sma…
Inclusive, prompt and non-prompt identification in proton-proton collisions at the Large Hadron Collider using machine learning
Suraj Prasad, Neelkamal Mallick, Raghunath Sahoo
Studies related to meson, a bound state of charm and anti-charm quarks (), in heavy-ion collisions, provide genuine testing grounds for the theory of strong in…
Effects of clustered nuclear geometry on the anisotropic flow in O-O collisions at the LHC within a multiphase transport model framework
Debadatta Behera, Suraj Prasad, Neelkamal Mallick +1
To understand the true origin of flowlike signatures and applicability of hydrodynamics in small collision systems, effects of soft QCD dynamics, the sensitivity of jetlike correla…
Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies
Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra +2
Recent developments on a deep learning feed-forward network for estimating elliptic flow () coefficients in heavy-ion collisions have shown us the prediction power of this tec…
Unveiling the effects of multiple soft partonic interactions in pp collisions at TeV using charged-particle flattenicity
Antonio Ortiz, Arvind Khuntia, Omar Vázquez-Rueda +4
Event classifiers based either on the charged-particle multiplicity or the event shape have been extensively used in proton-proton (pp) collisions by the ALICE collaboration at the…
Probing initial geometrical anisotropy and final azimuthal anisotropy in heavy-ion collisions at Large Hadron Collider energies through event-shape engineering
Suraj Prasad, Neelkamal Mallick, Sushanta Tripathy +1
Anisotropic flow is accredited to have effects from the initial state geometry and fluctuations in the nuclear overlap region. The elliptic flow () and triangular flow ()…
Estimating Elliptic Flow Coefficient in Heavy Ion Collisions using Deep Learning
Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra +2
Machine Learning (ML) techniques have been employed for the high energy physics (HEP) community since the early 80s to deal with a broad spectrum of problems. This work explores th…
Event topology and global observables in heavy-ion collisions at the Large Hadron Collider
Suraj Prasad, Neelkamal Mallick, Debadatta Behera +2
Particle production and event topology are very strongly correlated in high-energy hadronic and nuclear collisions. Event topology is decided by the underlying particle production…